Overview

Dataset statistics

Number of variables20
Number of observations6672
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory168.0 B

Variable types

Numeric20

Alerts

id has unique valuesUnique
payments has unique valuesUnique
min_pay has unique valuesUnique
one_purchases has 2149 (32.2%) zerosZeros
install_purchases has 1784 (26.7%) zerosZeros
cash_adv has 4430 (66.4%) zerosZeros
one_purchases_freq has 2149 (32.2%) zerosZeros
purchases_install_freq has 1784 (26.7%) zerosZeros
cash_adv_freq has 4430 (66.4%) zerosZeros
cash_adv_TRX has 4430 (66.4%) zerosZeros
prc_full_pay has 4022 (60.3%) zerosZeros

Reproduction

Analysis started2023-01-17 17:17:04.887373
Analysis finished2023-01-17 17:18:11.852311
Duration1 minute and 6.96 seconds
Software versionpandas-profiling vv3.6.2
Download configurationconfig.json

Variables

id
Real number (ℝ)

Distinct6672
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14573.142
Minimum10001
Maximum19190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:11.981155image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10001
5-th percentile10469.55
Q112260.5
median14555
Q316903.5
95-th percentile18711.45
Maximum19190
Range9189
Interquartile range (IQR)4643

Descriptive statistics

Standard deviation2656.2514
Coefficient of variation (CV)0.18227033
Kurtosis-1.2141426
Mean14573.142
Median Absolute Deviation (MAD)2327.5
Skewness0.013698577
Sum97232003
Variance7055671.7
MonotonicityStrictly increasing
2023-01-17T09:18:12.165825image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10001 1
 
< 0.1%
16031 1
 
< 0.1%
16132 1
 
< 0.1%
16131 1
 
< 0.1%
16130 1
 
< 0.1%
16129 1
 
< 0.1%
16128 1
 
< 0.1%
16127 1
 
< 0.1%
16126 1
 
< 0.1%
16125 1
 
< 0.1%
Other values (6662) 6662
99.9%
ValueCountFrequency (%)
10001 1
< 0.1%
10003 1
< 0.1%
10005 1
< 0.1%
10006 1
< 0.1%
10007 1
< 0.1%
10008 1
< 0.1%
10009 1
< 0.1%
10010 1
< 0.1%
10011 1
< 0.1%
10012 1
< 0.1%
ValueCountFrequency (%)
19190 1
< 0.1%
19188 1
< 0.1%
19186 1
< 0.1%
19184 1
< 0.1%
19183 1
< 0.1%
19182 1
< 0.1%
19181 1
< 0.1%
19180 1
< 0.1%
19177 1
< 0.1%
19175 1
< 0.1%

balance
Real number (ℝ)

Distinct6667
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1421.4681
Minimum0
Maximum19043.139
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:12.358852image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.306426
Q195.633532
median653.8763
Q31819.0748
95-th percentile5703.3562
Maximum19043.139
Range19043.139
Interquartile range (IQR)1723.4412

Descriptive statistics

Standard deviation2052.7901
Coefficient of variation (CV)1.4441338
Kurtosis9.6320128
Mean1421.4681
Median Absolute Deviation (MAD)610.67437
Skewness2.6714897
Sum9484035.3
Variance4213947.3
MonotonicityNot monotonic
2023-01-17T09:18:12.539379image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
0.1%
40.900749 1
 
< 0.1%
1253.188317 1
 
< 0.1%
1275.142146 1
 
< 0.1%
53.583548 1
 
< 0.1%
18.105265 1
 
< 0.1%
954.431507 1
 
< 0.1%
252.717781 1
 
< 0.1%
1213.551338 1
 
< 0.1%
1636.518315 1
 
< 0.1%
Other values (6657) 6657
99.8%
ValueCountFrequency (%)
0 6
0.1%
0.000199 1
 
< 0.1%
0.001289 1
 
< 0.1%
0.004816 1
 
< 0.1%
0.009684 1
 
< 0.1%
0.064811 1
 
< 0.1%
0.065402 1
 
< 0.1%
0.25571 1
 
< 0.1%
0.327199 1
 
< 0.1%
0.41367 1
 
< 0.1%
ValueCountFrequency (%)
19043.13856 1
< 0.1%
18495.55855 1
< 0.1%
16304.88925 1
< 0.1%
16259.44857 1
< 0.1%
16115.5964 1
< 0.1%
15532.33972 1
< 0.1%
15258.2259 1
< 0.1%
15244.74865 1
< 0.1%
15155.53286 1
< 0.1%
14411.95798 1
< 0.1%

balance_freq
Real number (ℝ)

Distinct40
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.89250335
Minimum0
Maximum1
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:12.728742image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.363636
Q10.909091
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.090909

Descriptive statistics

Standard deviation0.21033824
Coefficient of variation (CV)0.23567221
Kurtosis3.202882
Mean0.89250335
Median Absolute Deviation (MAD)0
Skewness-2.0476324
Sum5954.7824
Variance0.044242173
MonotonicityNot monotonic
2023-01-17T09:18:12.902772image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 4711
70.6%
0.909091 324
 
4.9%
0.818182 228
 
3.4%
0.545455 182
 
2.7%
0.727273 180
 
2.7%
0.636364 171
 
2.6%
0.454545 136
 
2.0%
0.363636 131
 
2.0%
0.272727 118
 
1.8%
0.181818 97
 
1.5%
Other values (30) 394
 
5.9%
ValueCountFrequency (%)
0 6
 
0.1%
0.090909 21
 
0.3%
0.142857 1
 
< 0.1%
0.166667 1
 
< 0.1%
0.181818 97
1.5%
0.2 4
 
0.1%
0.222222 2
 
< 0.1%
0.25 4
 
0.1%
0.272727 118
1.8%
0.285714 4
 
0.1%
ValueCountFrequency (%)
1 4711
70.6%
0.909091 324
 
4.9%
0.9 34
 
0.5%
0.888889 38
 
0.6%
0.875 36
 
0.5%
0.857143 31
 
0.5%
0.833333 40
 
0.6%
0.818182 228
 
3.4%
0.8 17
 
0.3%
0.777778 14
 
0.2%

purchases
Real number (ℝ)

Distinct6015
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1327.2852
Minimum0
Maximum49039.57
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:13.078216image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59
Q1250.69
median615.18
Q31499.955
95-th percentile4627.008
Maximum49039.57
Range49039.57
Interquartile range (IQR)1249.265

Descriptive statistics

Standard deviation2382.9188
Coefficient of variation (CV)1.7953329
Kurtosis92.001509
Mean1327.2852
Median Absolute Deviation (MAD)458.735
Skewness7.4850383
Sum8855646.9
Variance5678302.2
MonotonicityNot monotonic
2023-01-17T09:18:13.262782image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45.65 25
 
0.4%
150 15
 
0.2%
60 13
 
0.2%
200 12
 
0.2%
100 12
 
0.2%
450 12
 
0.2%
600 10
 
0.1%
70 10
 
0.1%
1000 9
 
0.1%
120 9
 
0.1%
Other values (6005) 6545
98.1%
ValueCountFrequency (%)
0 3
< 0.1%
0.01 3
< 0.1%
0.05 1
 
< 0.1%
0.24 1
 
< 0.1%
1 2
< 0.1%
2 1
 
< 0.1%
4.44 1
 
< 0.1%
4.8 1
 
< 0.1%
4.99 1
 
< 0.1%
6.9 1
 
< 0.1%
ValueCountFrequency (%)
49039.57 1
< 0.1%
41050.4 1
< 0.1%
40040.71 1
< 0.1%
38902.71 1
< 0.1%
35131.16 1
< 0.1%
32539.78 1
< 0.1%
31299.35 1
< 0.1%
27957.68 1
< 0.1%
27790.42 1
< 0.1%
26784.62 1
< 0.1%

one_purchases
Real number (ℝ)

Distinct3922
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean782.96295
Minimum0
Maximum40761.25
Zeros2149
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:13.457395image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median202.745
Q3869.085
95-th percentile3216.3905
Maximum40761.25
Range40761.25
Interquartile range (IQR)869.085

Descriptive statistics

Standard deviation1879.5377
Coefficient of variation (CV)2.4005449
Kurtosis129.72953
Mean782.96295
Median Absolute Deviation (MAD)202.745
Skewness8.9804725
Sum5223928.8
Variance3532662
MonotonicityNot monotonic
2023-01-17T09:18:13.643615image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2149
32.2%
45.65 43
 
0.6%
50 16
 
0.2%
200 15
 
0.2%
70 12
 
0.2%
150 12
 
0.2%
1000 12
 
0.2%
100 12
 
0.2%
250 11
 
0.2%
60 10
 
0.1%
Other values (3912) 4380
65.6%
ValueCountFrequency (%)
0 2149
32.2%
0.01 6
 
0.1%
0.02 2
 
< 0.1%
0.05 1
 
< 0.1%
0.24 1
 
< 0.1%
1 4
 
0.1%
1.4 1
 
< 0.1%
2 1
 
< 0.1%
4.99 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
40761.25 1
< 0.1%
40624.06 1
< 0.1%
34087.73 1
< 0.1%
33803.84 1
< 0.1%
26547.43 1
< 0.1%
26514.32 1
< 0.1%
25122.77 1
< 0.1%
24543.52 1
< 0.1%
23032.97 1
< 0.1%
22257.39 1
< 0.1%

install_purchases
Real number (ℝ)

Distinct4340
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean544.7149
Minimum0
Maximum22500
Zeros1784
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:13.846744image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median240.5
Q3645.19
95-th percentile2020.269
Maximum22500
Range22500
Interquartile range (IQR)645.19

Descriptive statistics

Standard deviation1010.72
Coefficient of variation (CV)1.8555028
Kurtosis78.998699
Mean544.7149
Median Absolute Deviation (MAD)240.5
Skewness6.6334604
Sum3634337.8
Variance1021555
MonotonicityNot monotonic
2023-01-17T09:18:14.037869image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1784
 
26.7%
100 14
 
0.2%
200 13
 
0.2%
125 11
 
0.2%
150 11
 
0.2%
300 10
 
0.1%
75 9
 
0.1%
450 8
 
0.1%
500 8
 
0.1%
270 7
 
0.1%
Other values (4330) 4797
71.9%
ValueCountFrequency (%)
0 1784
26.7%
1.95 1
 
< 0.1%
4.44 1
 
< 0.1%
4.8 1
 
< 0.1%
6.33 1
 
< 0.1%
7.26 1
 
< 0.1%
7.67 1
 
< 0.1%
9.58 1
 
< 0.1%
9.65 1
 
< 0.1%
9.68 1
 
< 0.1%
ValueCountFrequency (%)
22500 1
< 0.1%
15497.19 1
< 0.1%
14686.1 1
< 0.1%
13184.43 1
< 0.1%
12738.47 1
< 0.1%
12560.85 1
< 0.1%
12541 1
< 0.1%
12375 1
< 0.1%
12235.05 1
< 0.1%
12128.94 1
< 0.1%

cash_adv
Real number (ℝ)

Distinct2243
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean694.99841
Minimum0
Maximum47137.212
Zeros4430
Zeros (%)66.4%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:14.214804image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3420.13572
95-th percentile3955.9925
Maximum47137.212
Range47137.212
Interquartile range (IQR)420.13572

Descriptive statistics

Standard deviation1895.172
Coefficient of variation (CV)2.7268724
Kurtosis90.947207
Mean694.99841
Median Absolute Deviation (MAD)0
Skewness6.8256608
Sum4637029.4
Variance3591676.9
MonotonicityNot monotonic
2023-01-17T09:18:14.394992image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4430
66.4%
4327.398235 1
 
< 0.1%
2183.782456 1
 
< 0.1%
1748.234165 1
 
< 0.1%
1719.993551 1
 
< 0.1%
708.865975 1
 
< 0.1%
723.138529 1
 
< 0.1%
5160.785017 1
 
< 0.1%
1578.03608 1
 
< 0.1%
729.174169 1
 
< 0.1%
Other values (2233) 2233
33.5%
ValueCountFrequency (%)
0 4430
66.4%
14.222216 1
 
< 0.1%
18.126683 1
 
< 0.1%
18.204577 1
 
< 0.1%
18.280043 1
 
< 0.1%
18.427395 1
 
< 0.1%
18.531069 1
 
< 0.1%
18.561424 1
 
< 0.1%
18.616675 1
 
< 0.1%
18.638559 1
 
< 0.1%
ValueCountFrequency (%)
47137.21176 1
< 0.1%
29282.10915 1
< 0.1%
27296.48576 1
< 0.1%
26268.69989 1
< 0.1%
20712.67008 1
< 0.1%
20277.33112 1
< 0.1%
19862.87844 1
< 0.1%
19513.47483 1
< 0.1%
18857.05847 1
< 0.1%
17661.49486 1
< 0.1%

purchases_freq
Real number (ℝ)

Distinct47
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.64195484
Minimum0
Maximum1
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:14.577845image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.083333
Q10.333333
median0.727273
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.666667

Descriptive statistics

Standard deviation0.33870784
Coefficient of variation (CV)0.52761942
Kurtosis-1.3775833
Mean0.64195484
Median Absolute Deviation (MAD)0.272727
Skewness-0.37771823
Sum4283.1227
Variance0.114723
MonotonicityNot monotonic
2023-01-17T09:18:14.760137image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 2126
31.9%
0.083333 622
 
9.3%
0.916667 391
 
5.9%
0.5 390
 
5.8%
0.166667 367
 
5.5%
0.833333 367
 
5.5%
0.333333 349
 
5.2%
0.25 328
 
4.9%
0.583333 309
 
4.6%
0.666667 306
 
4.6%
Other values (37) 1117
16.7%
ValueCountFrequency (%)
0 3
 
< 0.1%
0.083333 622
9.3%
0.090909 41
 
0.6%
0.1 23
 
0.3%
0.111111 16
 
0.2%
0.125 25
 
0.4%
0.142857 22
 
0.3%
0.166667 367
5.5%
0.181818 15
 
0.2%
0.2 17
 
0.3%
ValueCountFrequency (%)
1 2126
31.9%
0.916667 391
 
5.9%
0.909091 28
 
0.4%
0.9 23
 
0.3%
0.888889 18
 
0.3%
0.875 26
 
0.4%
0.857143 23
 
0.3%
0.833333 367
 
5.5%
0.818182 20
 
0.3%
0.8 9
 
0.1%

one_purchases_freq
Real number (ℝ)

Distinct47
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26652097
Minimum0
Maximum1
Zeros2149
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:14.948577image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.125
Q30.416667
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.416667

Descriptive statistics

Standard deviation0.3168305
Coefficient of variation (CV)1.1887639
Kurtosis0.069147237
Mean0.26652097
Median Absolute Deviation (MAD)0.125
Skewness1.1537256
Sum1778.2279
Variance0.10038156
MonotonicityNot monotonic
2023-01-17T09:18:15.127746image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 2149
32.2%
0.083333 1057
15.8%
0.166667 576
 
8.6%
1 469
 
7.0%
0.25 408
 
6.1%
0.333333 346
 
5.2%
0.416667 243
 
3.6%
0.5 232
 
3.5%
0.583333 197
 
3.0%
0.666667 167
 
2.5%
Other values (37) 828
 
12.4%
ValueCountFrequency (%)
0 2149
32.2%
0.083333 1057
15.8%
0.090909 54
 
0.8%
0.1 36
 
0.5%
0.111111 24
 
0.4%
0.125 35
 
0.5%
0.142857 33
 
0.5%
0.166667 576
 
8.6%
0.181818 33
 
0.5%
0.2 26
 
0.4%
ValueCountFrequency (%)
1 469
7.0%
0.916667 151
 
2.3%
0.909091 4
 
0.1%
0.9 1
 
< 0.1%
0.888889 2
 
< 0.1%
0.875 6
 
0.1%
0.857143 1
 
< 0.1%
0.833333 115
 
1.7%
0.818182 10
 
0.1%
0.8 4
 
0.1%

purchases_install_freq
Real number (ℝ)

Distinct47
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.47732552
Minimum0
Maximum1
Zeros1784
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:15.314862image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.454545
Q30.9
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation0.39158725
Coefficient of variation (CV)0.82037778
Kurtosis-1.575259
Mean0.47732552
Median Absolute Deviation (MAD)0.454545
Skewness0.056451038
Sum3184.7158
Variance0.15334057
MonotonicityNot monotonic
2023-01-17T09:18:15.501779image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 1784
26.7%
1 1297
19.4%
0.416667 381
 
5.7%
0.916667 340
 
5.1%
0.833333 304
 
4.6%
0.5 303
 
4.5%
0.166667 296
 
4.4%
0.666667 290
 
4.3%
0.75 284
 
4.3%
0.083333 248
 
3.7%
Other values (37) 1145
17.2%
ValueCountFrequency (%)
0 1784
26.7%
0.083333 248
 
3.7%
0.090909 10
 
0.1%
0.1 5
 
0.1%
0.111111 8
 
0.1%
0.125 4
 
0.1%
0.142857 5
 
0.1%
0.166667 296
 
4.4%
0.181818 14
 
0.2%
0.2 8
 
0.1%
ValueCountFrequency (%)
1 1297
19.4%
0.916667 340
 
5.1%
0.909091 25
 
0.4%
0.9 18
 
0.3%
0.888889 28
 
0.4%
0.875 28
 
0.4%
0.857143 29
 
0.4%
0.833333 304
 
4.6%
0.818182 20
 
0.3%
0.8 17
 
0.3%

cash_adv_freq
Real number (ℝ)

Distinct49
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09656973
Minimum0
Maximum1.25
Zeros4430
Zeros (%)66.4%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:15.685895image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.10277775
95-th percentile0.5
Maximum1.25
Range1.25
Interquartile range (IQR)0.10277775

Descriptive statistics

Standard deviation0.18236462
Coefficient of variation (CV)1.8884243
Kurtosis5.5384845
Mean0.09656973
Median Absolute Deviation (MAD)0
Skewness2.324503
Sum644.31324
Variance0.033256855
MonotonicityNot monotonic
2023-01-17T09:18:15.878009image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 4430
66.4%
0.083333 537
 
8.0%
0.166667 383
 
5.7%
0.25 304
 
4.6%
0.333333 229
 
3.4%
0.416667 161
 
2.4%
0.5 115
 
1.7%
0.583333 78
 
1.2%
0.666667 66
 
1.0%
0.75 40
 
0.6%
Other values (39) 329
 
4.9%
ValueCountFrequency (%)
0 4430
66.4%
0.083333 537
 
8.0%
0.090909 27
 
0.4%
0.1 10
 
0.1%
0.111111 13
 
0.2%
0.125 18
 
0.3%
0.142857 21
 
0.3%
0.166667 383
 
5.7%
0.181818 17
 
0.3%
0.2 14
 
0.2%
ValueCountFrequency (%)
1.25 1
 
< 0.1%
1.166667 1
 
< 0.1%
1.125 1
 
< 0.1%
1.1 1
 
< 0.1%
1.090909 1
 
< 0.1%
1 13
0.2%
0.916667 14
0.2%
0.9 1
 
< 0.1%
0.888889 1
 
< 0.1%
0.875 4
 
0.1%

cash_adv_TRX
Real number (ℝ)

Distinct57
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4016787
Minimum0
Maximum123
Zeros4430
Zeros (%)66.4%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:16.064765image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13
Maximum123
Range123
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.2031455
Coefficient of variation (CV)2.5828374
Kurtosis76.675538
Mean2.4016787
Median Absolute Deviation (MAD)0
Skewness6.4188562
Sum16024
Variance38.479014
MonotonicityNot monotonic
2023-01-17T09:18:16.255551image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4430
66.4%
1 446
 
6.7%
2 302
 
4.5%
3 212
 
3.2%
4 197
 
3.0%
5 155
 
2.3%
6 138
 
2.1%
7 107
 
1.6%
8 88
 
1.3%
10 87
 
1.3%
Other values (47) 510
 
7.6%
ValueCountFrequency (%)
0 4430
66.4%
1 446
 
6.7%
2 302
 
4.5%
3 212
 
3.2%
4 197
 
3.0%
5 155
 
2.3%
6 138
 
2.1%
7 107
 
1.6%
8 88
 
1.3%
9 52
 
0.8%
ValueCountFrequency (%)
123 2
< 0.1%
107 1
< 0.1%
93 1
< 0.1%
71 1
< 0.1%
62 1
< 0.1%
61 1
< 0.1%
52 2
< 0.1%
51 1
< 0.1%
50 1
< 0.1%
49 1
< 0.1%

purchases_trx
Real number (ℝ)

Distinct173
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.458483
Minimum0
Maximum358
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:16.452955image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median12
Q323
95-th percentile67.45
Maximum358
Range358
Interquartile range (IQR)18

Descriptive statistics

Standard deviation27.103616
Coefficient of variation (CV)1.3928946
Kurtosis29.636294
Mean19.458483
Median Absolute Deviation (MAD)8
Skewness4.3084812
Sum129827
Variance734.60598
MonotonicityNot monotonic
2023-01-17T09:18:16.636277image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 606
 
9.1%
12 537
 
8.0%
2 345
 
5.2%
6 340
 
5.1%
3 294
 
4.4%
4 277
 
4.2%
7 265
 
4.0%
8 263
 
3.9%
5 254
 
3.8%
9 240
 
3.6%
Other values (163) 3251
48.7%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 606
9.1%
2 345
5.2%
3 294
4.4%
4 277
4.2%
5 254
3.8%
6 340
5.1%
7 265
4.0%
8 263
3.9%
9 240
 
3.6%
ValueCountFrequency (%)
358 1
< 0.1%
347 1
< 0.1%
344 1
< 0.1%
309 1
< 0.1%
308 1
< 0.1%
298 1
< 0.1%
274 1
< 0.1%
273 1
< 0.1%
254 1
< 0.1%
248 2
< 0.1%

credit_limit
Real number (ℝ)

Distinct194
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4659.5116
Minimum150
Maximum30000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:16.837214image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile1000
Q11700
median3500
Q36500
95-th percentile12000
Maximum30000
Range29850
Interquartile range (IQR)4800

Descriptive statistics

Standard deviation3752.3247
Coefficient of variation (CV)0.80530428
Kurtosis2.8045592
Mean4659.5116
Median Absolute Deviation (MAD)2000
Skewness1.5029109
Sum31088261
Variance14079940
MonotonicityNot monotonic
2023-01-17T09:18:17.014535image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 542
 
8.1%
3000 517
 
7.7%
1500 506
 
7.6%
2500 450
 
6.7%
4000 397
 
6.0%
1200 374
 
5.6%
6000 351
 
5.3%
5000 301
 
4.5%
2000 285
 
4.3%
7500 227
 
3.4%
Other values (184) 2722
40.8%
ValueCountFrequency (%)
150 1
 
< 0.1%
200 2
 
< 0.1%
300 11
 
0.2%
400 3
 
< 0.1%
450 6
 
0.1%
500 62
0.9%
600 17
 
0.3%
650 1
 
< 0.1%
700 13
 
0.2%
750 1
 
< 0.1%
ValueCountFrequency (%)
30000 2
 
< 0.1%
28000 1
 
< 0.1%
25000 1
 
< 0.1%
23000 2
 
< 0.1%
22500 1
 
< 0.1%
22000 1
 
< 0.1%
21500 2
 
< 0.1%
21000 2
 
< 0.1%
20500 1
 
< 0.1%
20000 10
0.1%

payments
Real number (ℝ)

Distinct6672
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1805.1465
Minimum0.056466
Maximum50721.483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:17.202402image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.056466
5-th percentile139.29313
Q1426.02855
median933.47316
Q32007.3252
95-th percentile6084.4896
Maximum50721.483
Range50721.427
Interquartile range (IQR)1581.2967

Descriptive statistics

Standard deviation2955.1548
Coefficient of variation (CV)1.637072
Kurtosis58.778657
Mean1805.1465
Median Absolute Deviation (MAD)625.35113
Skewness6.1415939
Sum12043938
Variance8732940.1
MonotonicityNot monotonic
2023-01-17T09:18:17.398537image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201.802084 1
 
< 0.1%
2609.18811 1
 
< 0.1%
454.888506 1
 
< 0.1%
1903.279643 1
 
< 0.1%
2571.573214 1
 
< 0.1%
826.036748 1
 
< 0.1%
846.787917 1
 
< 0.1%
221.798291 1
 
< 0.1%
904.68554 1
 
< 0.1%
162.949236 1
 
< 0.1%
Other values (6662) 6662
99.9%
ValueCountFrequency (%)
0.056466 1
< 0.1%
4.523555 1
< 0.1%
4.841543 1
< 0.1%
9.533313 1
< 0.1%
14.500688 1
< 0.1%
16.385421 1
< 0.1%
18.125527 1
< 0.1%
18.208604 1
< 0.1%
18.336805 1
< 0.1%
18.496532 1
< 0.1%
ValueCountFrequency (%)
50721.48336 1
< 0.1%
46930.59824 1
< 0.1%
40627.59524 1
< 0.1%
39461.9658 1
< 0.1%
39048.59762 1
< 0.1%
36066.75068 1
< 0.1%
35843.62593 1
< 0.1%
33994.72785 1
< 0.1%
32048.6122 1
< 0.1%
31698.41902 1
< 0.1%

min_pay
Real number (ℝ)

Distinct6672
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean822.0632
Minimum0.019163
Maximum76406.208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:17.591204image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0.019163
5-th percentile71.655291
Q1162.10854
median246.77096
Q3762.17827
95-th percentile2791.5059
Maximum76406.208
Range76406.188
Interquartile range (IQR)600.06973

Descriptive statistics

Standard deviation2293.3004
Coefficient of variation (CV)2.7896887
Kurtosis307.26847
Mean822.0632
Median Absolute Deviation (MAD)146.95129
Skewness13.807336
Sum5484805.7
Variance5259226.8
MonotonicityNot monotonic
2023-01-17T09:18:17.788863image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
139.509787 1
 
< 0.1%
189.423175 1
 
< 0.1%
127.731899 1
 
< 0.1%
174.499877 1
 
< 0.1%
73.948578 1
 
< 0.1%
350.661181 1
 
< 0.1%
150.804339 1
 
< 0.1%
179.182583 1
 
< 0.1%
250.871811 1
 
< 0.1%
184.464721 1
 
< 0.1%
Other values (6662) 6662
99.9%
ValueCountFrequency (%)
0.019163 1
< 0.1%
0.037744 1
< 0.1%
0.05588 1
< 0.1%
0.059481 1
< 0.1%
0.261984 1
< 0.1%
0.319475 1
< 0.1%
1.113027 1
< 0.1%
2.167809 1
< 0.1%
2.891346 1
< 0.1%
3.19794 1
< 0.1%
ValueCountFrequency (%)
76406.20752 1
< 0.1%
56370.04117 1
< 0.1%
50260.75947 1
< 0.1%
38512.12477 1
< 0.1%
31871.36379 1
< 0.1%
30528.4324 1
< 0.1%
29019.80288 1
< 0.1%
28483.25483 1
< 0.1%
26873.51595 1
< 0.1%
26378.90782 1
< 0.1%

prc_full_pay
Real number (ℝ)

Distinct47
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19266806
Minimum0
Maximum1
Zeros4022
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:17.993188image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.25
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.3207963
Coefficient of variation (CV)1.6650206
Kurtosis0.97538122
Mean0.19266806
Median Absolute Deviation (MAD)0
Skewness1.5609776
Sum1285.4813
Variance0.10291027
MonotonicityNot monotonic
2023-01-17T09:18:18.174619image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 4022
60.3%
1 462
 
6.9%
0.083333 331
 
5.0%
0.5 135
 
2.0%
0.166667 129
 
1.9%
0.25 128
 
1.9%
0.333333 118
 
1.8%
0.090909 105
 
1.6%
0.666667 78
 
1.2%
0.916667 77
 
1.2%
Other values (37) 1087
 
16.3%
ValueCountFrequency (%)
0 4022
60.3%
0.083333 331
 
5.0%
0.090909 105
 
1.6%
0.1 70
 
1.0%
0.111111 48
 
0.7%
0.125 30
 
0.4%
0.142857 35
 
0.5%
0.166667 129
 
1.9%
0.181818 64
 
1.0%
0.2 69
 
1.0%
ValueCountFrequency (%)
1 462
6.9%
0.916667 77
 
1.2%
0.909091 19
 
0.3%
0.9 16
 
0.2%
0.888889 12
 
0.2%
0.875 18
 
0.3%
0.857143 12
 
0.2%
0.833333 62
 
0.9%
0.818182 17
 
0.3%
0.8 33
 
0.5%

tenure
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.586031
Minimum6
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:18.327009image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile8
Q112
median12
Q312
95-th percentile12
Maximum12
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2458667
Coefficient of variation (CV)0.10753179
Kurtosis9.6961588
Mean11.586031
Median Absolute Deviation (MAD)0
Skewness-3.2414114
Sum77302
Variance1.5521838
MonotonicityNot monotonic
2023-01-17T09:18:18.450128image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
12 5792
86.8%
11 235
 
3.5%
10 157
 
2.4%
8 127
 
1.9%
6 126
 
1.9%
7 122
 
1.8%
9 113
 
1.7%
ValueCountFrequency (%)
6 126
 
1.9%
7 122
 
1.8%
8 127
 
1.9%
9 113
 
1.7%
10 157
 
2.4%
11 235
 
3.5%
12 5792
86.8%
ValueCountFrequency (%)
12 5792
86.8%
11 235
 
3.5%
10 157
 
2.4%
9 113
 
1.7%
8 127
 
1.9%
7 122
 
1.8%
6 126
 
1.9%

unit_price
Real number (ℝ)

Distinct6025
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite3
Infinite (%)< 0.1%
Meaninf
Minimum0
Maximuminf
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:18.624744image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.003696115
Q10.010572824
median0.018010402
Q30.030105673
95-th percentile0.06555368
Maximuminf
Rangeinf
Interquartile range (IQR)0.01953285

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Meaninf
Median Absolute Deviation (MAD)0.0088803843
Skewnessnan
Suminf
Variancenan
MonotonicityNot monotonic
2023-01-17T09:18:18.816604image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02 26
 
0.4%
0.02190580504 25
 
0.4%
0.01666666667 19
 
0.3%
0.025 15
 
0.2%
0.04 15
 
0.2%
0.01 14
 
0.2%
0.05 11
 
0.2%
0.01111111111 11
 
0.2%
0.02857142857 10
 
0.1%
0.005 10
 
0.1%
Other values (6015) 6516
97.7%
ValueCountFrequency (%)
0 3
< 0.1%
0.0001671774868 1
 
< 0.1%
0.0003846153846 1
 
< 0.1%
0.0003962847512 1
 
< 0.1%
0.0005 2
< 0.1%
0.0005333333333 1
 
< 0.1%
0.0005361803797 1
 
< 0.1%
0.0005524861878 1
 
< 0.1%
0.0005851375073 1
 
< 0.1%
0.0006283380459 1
 
< 0.1%
ValueCountFrequency (%)
inf 3
< 0.1%
100 3
< 0.1%
20 1
 
< 0.1%
1.428571429 3
< 0.1%
1 3
< 0.1%
0.6756756757 1
 
< 0.1%
0.5 1
 
< 0.1%
0.3592814371 1
 
< 0.1%
0.350140056 1
 
< 0.1%
0.2732240437 1
 
< 0.1%

gross_revenue
Real number (ℝ)

Distinct6265
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite3
Infinite (%)< 0.1%
Meaninf
Minimum0
Maximuminf
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size104.2 KiB
2023-01-17T09:18:19.008819image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.008034411
Q10.070168055
median0.21758425
Q30.51634428
95-th percentile1.8722218
Maximuminf
Rangeinf
Interquartile range (IQR)0.44617623

Descriptive statistics

Standard deviationnan
Coefficient of variation (CV)nan
Kurtosisnan
Meaninf
Median Absolute Deviation (MAD)0.17794016
Skewnessnan
Suminf
Variancenan
MonotonicityNot monotonic
2023-01-17T09:18:19.194885image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02190580504 25
 
0.4%
0.02 12
 
0.2%
0.2 10
 
0.1%
0.01666666667 9
 
0.1%
0.12 8
 
0.1%
0.05 7
 
0.1%
0.03333333333 7
 
0.1%
0.01 7
 
0.1%
0.005 6
 
0.1%
0.25 6
 
0.1%
Other values (6255) 6575
98.5%
ValueCountFrequency (%)
0 3
< 0.1%
0.0003846153846 1
 
< 0.1%
0.0005 2
< 0.1%
0.0005015324603 1
 
< 0.1%
0.0005524861878 1
 
< 0.1%
0.0005851375073 1
 
< 0.1%
0.0006666666667 1
 
< 0.1%
0.0006711409396 1
 
< 0.1%
0.0006896551724 2
< 0.1%
0.0006928422467 1
 
< 0.1%
ValueCountFrequency (%)
inf 3
< 0.1%
100 3
< 0.1%
34.34295741 1
 
< 0.1%
29.13183922 1
 
< 0.1%
25.78673544 1
 
< 0.1%
21.55746674 1
 
< 0.1%
20 1
 
< 0.1%
19.33165961 1
 
< 0.1%
17.77398204 1
 
< 0.1%
17.14285714 3
< 0.1%

Interactions

2023-01-17T09:18:07.165222image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:05.213151image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:08.411427image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:11.803256image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
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2023-01-17T09:17:06.819323image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:10.075708image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:13.327699image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:16.497518image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:19.771789image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:23.147220image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:26.477998image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:29.753827image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:32.821843image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:36.052583image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:40.863447image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:43.949520image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:47.034901image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:50.124939image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:53.263154image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:56.436161image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:59.589924image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:02.631311image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:05.671943image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:09.788418image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:06.981501image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:10.259414image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:13.487339image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:16.670524image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:19.952927image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:23.316589image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:26.642166image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:29.907920image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:32.977789image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:36.205106image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:41.015029image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:44.102749image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:47.191986image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:50.284518image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:53.416607image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:56.597379image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:59.740086image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:02.799480image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:05.821206image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:09.936051image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:07.133508image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:10.433587image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:13.650485image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:16.829970image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:20.135441image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:23.479949image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:26.798726image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:30.075143image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:33.133595image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:36.361696image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:41.167524image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:44.256094image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:47.348241image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:50.445070image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:53.571432image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:56.781211image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:59.894883image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:02.959331image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:05.969189image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:10.090062image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:07.297833image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:10.605336image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:13.823419image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:16.984725image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:20.386639image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:23.666356image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:26.952579image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:30.248226image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:33.299593image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:36.522024image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:41.327473image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:44.415188image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:47.511113image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:50.606871image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:53.731430image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:56.952108image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:00.054601image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:03.119944image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:06.125729image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:10.239556image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:07.459431image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:10.772017image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:14.001172image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:17.135860image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:20.587712image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:23.844601image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:27.125874image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:30.412063image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:33.457367image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:36.674642image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:41.485966image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:44.567633image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:47.672581image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:50.759511image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:53.891567image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:57.112656image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:00.205170image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:03.279961image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:06.277298image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:10.392539image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:07.605985image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:10.943597image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:14.153906image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:17.294986image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:20.783862image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:24.020088image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:27.286638image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:30.571177image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:33.617353image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:36.832475image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:41.632469image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:44.714665image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:47.824996image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:50.913049image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:54.038130image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:57.284367image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:00.354849image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:03.431715image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:06.421791image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:10.552800image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:07.777692image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:11.121760image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:14.323229image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:17.468581image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:20.970840image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:24.192665image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:27.468528image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:30.743070image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:33.784561image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:36.998714image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:41.803477image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:44.879795image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:47.992110image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:51.081182image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:54.198507image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:57.470679image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:00.520770image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:03.603684image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:06.583577image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:10.699881image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:07.924786image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:11.293130image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:14.466441image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:17.618447image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:21.164523image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:24.351861image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:27.634618image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:30.888731image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:33.946476image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:37.147918image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:41.950680image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:45.029758image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:48.141599image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:51.236808image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:54.353738image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:57.625053image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:00.662003image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:03.748684image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:06.727846image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:10.854641image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:08.089892image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:11.491686image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:14.624750image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:17.793227image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:21.333849image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:24.516423image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:27.803370image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:31.039817image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:34.103007image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:37.308915image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:42.104446image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:45.186152image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:48.303787image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:51.389896image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:54.508174image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:57.790869image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:00.820487image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:03.901668image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:06.882768image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:11.001160image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:08.254423image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:11.652387image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:14.786347image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:17.942140image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:21.494819image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:24.673261image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:27.958191image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:31.186974image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:34.259391image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:37.455576image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:42.260494image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:45.336492image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:48.453068image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:51.538438image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:54.656472image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:17:57.943388image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:00.965334image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:04.044460image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-01-17T09:18:07.024425image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Missing values

2023-01-17T09:18:11.235198image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-01-17T09:18:11.660037image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

idbalancebalance_freqpurchasesone_purchasesinstall_purchasescash_advpurchases_freqone_purchases_freqpurchases_install_freqcash_adv_freqcash_adv_TRXpurchases_trxcredit_limitpaymentsmin_payprc_full_paytenureunit_pricegross_revenue
01000140.9007490.81818295.400.0095.400.00.1666670.0000000.0833330.0021000.0201.802084139.5097870.0120.0209640.041929
2100032495.1488621.000000773.17773.170.000.01.0000001.0000000.0000000.00127500.0622.066742627.2847870.0120.0155210.186246
410005817.7143351.00000016.0016.000.000.00.0833330.0833330.0000000.0011200.0678.334763244.7912370.0120.0625000.062500
5100061809.8287511.0000001333.280.001333.280.00.6666670.0000000.5833330.0081800.01400.0577702407.2460350.0120.0060000.048002
610007627.2608061.0000007091.016402.63688.380.01.0000001.0000001.0000000.006413500.06354.314328198.0658941.0120.0090260.577633
7100081823.6527431.000000436.200.00436.200.01.0000000.0000001.0000000.00122300.0679.065082532.0339900.0120.0275100.330124
8100091014.9264731.000000861.49661.49200.000.00.3333330.0833330.2500000.0057000.0688.278568311.9634090.0120.0058040.029019
910010152.2259750.5454551281.601281.600.000.00.1666670.1666670.0000000.00311000.01164.770591100.3022620.0120.0023410.007022
10100111293.1249391.000000920.120.00920.120.01.0000000.0000001.0000000.00121200.01083.3010072172.6977650.0120.0130420.156501
1110012630.7947440.8181821492.181492.180.000.00.2500000.2500000.0000000.0062000.0705.618627155.5490690.0120.0040210.024126
idbalancebalance_freqpurchasesone_purchasesinstall_purchasescash_advpurchases_freqone_purchases_freqpurchases_install_freqcash_adv_freqcash_adv_TRXpurchases_trxcredit_limitpaymentsmin_payprc_full_paytenureunit_pricegross_revenue
89341917520.2607160.833333110.500.00110.500.0000000.6666670.0000000.5000000.000000041500.0161.47678965.9367510.5060.0361990.144796
893619177108.9772821.000000712.500.00712.500.0000001.0000000.0000000.8333330.000000061000.0605.71635686.8685950.7560.0084210.050526
893919180728.3525481.000000734.40734.400.00239.8910380.3333330.3333330.0000000.166667221000.072.530037110.9507980.0060.0027230.005447
894019181130.8385541.000000591.240.00591.240.0000001.0000000.0000000.8333330.000000061000.0475.52326282.7713201.0060.0101480.060889
8941191825967.4752700.833333214.550.00214.558555.4093260.8333330.0000000.6666670.6666671359000.0966.202912861.9499060.0060.0233050.116523
89421918340.8297491.000000113.280.00113.280.0000001.0000000.0000000.8333330.000000061000.094.48882886.2831010.2560.0529660.317797
8943191845.8717120.50000020.9020.900.000.0000000.1666670.1666670.0000000.00000001500.058.64488343.4737170.0060.0478470.047847
89451918628.4935171.000000291.120.00291.120.0000001.0000000.0000000.8333330.000000061000.0325.59446248.8863650.5060.0206100.123660
89471918823.3986730.833333144.400.00144.400.0000000.8333330.0000000.6666670.000000051000.081.27077582.4183690.2560.0346260.173130
894919190372.7080750.6666671093.251093.250.00127.0400080.6666670.6666670.0000000.3333332231200.063.16540488.2889560.0060.0210380.483878